DEVELOPMENT... OpenML
Run
66751

Run 66751

Task 3722 (Supervised Classification) hungarian Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_NaiveBayes(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_NaiveBayes(1)_P100
weka.RealAdaBoost_NaiveBayes(1)_H1.0
weka.RealAdaBoost_NaiveBayes(1)_S1
weka.RealAdaBoost_NaiveBayes(1)_I10
weka.RealAdaBoost_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9105
Per class
Build CPU time
0.0213
Build memory
31969084.7075
F measure
0.8464
Per class
Kappa
0.666
KB relative information score
182.884
Mean absolute error
0.1731
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8461
Per class
Predictive accuracy
0.8469
Prior entropy
0.9439
Recall
0.8469
Per class
Relative absolute error
0.3752
Root mean prior squared error
0.4802
Root mean squared error
0.3501
Root relative squared error
0.7291
SciMark benchmark
940.5081